Lead AI Engineer

Lead AI Engineer

Full-Time 43200 - 64800 ÂŁ / year (est.) No home office possible
Sopra Steria

At a Glance

  • Tasks: Lead the design and delivery of advanced AI solutions while mentoring junior engineers.
  • Company: Join Sopra Steria, a forward-thinking tech company with a focus on innovation.
  • Benefits: Enjoy a competitive salary, car allowance, flexible working, and generous leave options.
  • Why this job: Make a real impact in AI while developing your skills in a collaborative environment.
  • Qualifications: Expertise in AI, strong programming skills, and experience with GenAI technologies required.
  • Other info: Embrace diversity and enjoy excellent career progression opportunities.

The predicted salary is between 43200 - 64800 ÂŁ per year.

3 days ago Be among the first 25 applicants

Are you passionate about Artificial Intelligence and excited by the opportunity to shape the future of Data and AI solutions?

We’re looking for a Lead AI Engineer to join our growing team, where you’ll balance hands‑on engineering with technical leadership. You’ll play a pivotal role in designing and delivering advanced AI solutions while also mentoring and developing junior team members, helping to create a collaborative and high‑performing environment.

We can offer great career progression opportunities, ability to be based anywhere across the UK, benefits which you can flex to meet your needs, and training and development opportunities. You’ll work alongside multidisciplinary teams, applying innovative AI technologies to solve complex business challenges and deliver real impact.

What you’ll be doing:

  • Leading the delivery of advanced AI and agent‑based solutions.
  • Coaching and mentoring junior engineers, fostering growth and best practice.
  • Communicating complex AI concepts to both technical and non‑technical stakeholders.
  • Managing project delivery, ensuring outcomes are on time, within budget and to quality standards.
  • Applying MLOps practices to address risk and technical debt.
  • Staying up to date with advancements in AI, agent architectures, and emerging best practices.

What you’ll bring:

  • Expertise in AI and Machine Learning, including agent‑based AI, RAG (Retrieval Augmented Generation), multi‑agent systems and conversational agents.
  • Strong programming skills in Python, Java or .NET.
  • Experience with GenAI and LLMs (e.g. ChatGPT, Claude, Llama, OpenAI), including prompt engineering, fine tuning and advanced search.
  • Familiarity with AI agent frameworks (e.g. Autogen AI) and digital assistant solutions such as Microsoft Copilot.
  • Knowledge of cloud‑native engineering techniques for scalable AI deployment.
  • Proven experience leading and developing a team.

If you are interested in this role but not sure if your skills and experience are exactly what we’re looking for, please do apply, we’d love to hear from you!

Employment Type: Full‑time, Permanent

Location: UK Wide

Security Clearance Level: SC Eligible

Internal Recruiter: Annecia

Salary: up to ÂŁ90,000

Benefits: ÂŁ5,400 car allowance, 25 days annual leave with the option to buy additional days, private medical, life assurance, pension, and generous flexible benefits fund

Although this role is advertised as full‑time, we believe that flexibility at work can promote work/life balance, increase your motivation, reduce stress and improves performance and productivity. We support different ways of working and can offer a range of flexible working arrangements. So, if you’re interested and need to work flexibly, we encourage you to apply and talk to us about what might be possible.

With a long history of delivering transformation, we\’ve developed a market‑leading partnership ecosystem to provide business services of the future and shape valuable, positive outcomes for communities. We empower our clients by providing innovative solutions and commercial models that help them meet their business needs, drive operational efficiencies, and deliver impactful value creation. We remain committed to values of excellence, empathy and respect to produce transformative outcomes in business processing – creating value for all.

We embrace difference as a source of creativity, innovation and competitive advantage and are striving to become a more diverse organisation. We welcome applications from people with a diverse variety of backgrounds and identities. We are committed to equality of opportunity for all and do not discriminate on the basis of race, religion, colour, gender, age, disability, sexual orientation or marital status. We have partnered with Vercida, the UK\’s largest diversity and inclusion focused careers site, where all our vacancies are available in an accessible format.

If you require any adjustments to the recruitment process, to enable you to perform to the best of your ability, please let us know when completing your application. We participate the Disability Confident scheme and are committed to offering an interview to any candidate with a disability, who meets the minimum criteria for the role. If you believe this could apply to you, please let us know when completing your application.

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Lead AI Engineer employer: Sopra Steria

Sopra Steria is an exceptional employer for the Lead AI Engineer role, offering a dynamic work culture that prioritises collaboration and innovation. With a strong focus on employee growth through mentoring and training opportunities, as well as flexible working arrangements across the UK, we empower our team to tackle complex challenges in AI while enjoying a comprehensive benefits package that includes a generous car allowance and private medical insurance.
Sopra Steria

Contact Detail:

Sopra Steria Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead AI Engineer

✨Tip Number 1

Network like a pro! Reach out to your connections in the AI field and let them know you're on the lookout for opportunities. A friendly chat can lead to referrals or insider info about openings that aren't even advertised yet.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects, especially those involving agent-based solutions or MLOps practices. This will give potential employers a taste of what you can bring to the table.

✨Tip Number 3

Prepare for interviews by brushing up on your ability to explain complex AI concepts in simple terms. Practice with friends or family who aren’t in tech – if they get it, you’re golden!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Lead AI Engineer

AI and Machine Learning
Agent-based AI
Retrieval Augmented Generation (RAG)
Multi-agent systems
Conversational agents
Programming in Python
Programming in Java
Programming in .NET
Generative AI (GenAI)
Large Language Models (LLMs)
Prompt engineering
Fine tuning
AI agent frameworks
Cloud-native engineering techniques
MLOps practices

Some tips for your application 🫡

Tailor Your CV: Make sure your CV speaks directly to the Lead AI Engineer role. Highlight your experience with AI and Machine Learning, especially in areas like agent-based AI and MLOps. We want to see how your skills align with what we're looking for!

Showcase Your Projects: Include specific examples of projects you've worked on that demonstrate your expertise in AI technologies. Whether it's a GenAI project or something involving conversational agents, we love seeing real-world applications of your skills.

Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain complex AI concepts, as you'll need to communicate effectively with both technical and non-technical folks here at StudySmarter.

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at Sopra Steria

✨Know Your AI Stuff

Make sure you brush up on your knowledge of AI and Machine Learning, especially around agent-based systems and conversational agents. Be ready to discuss your experience with GenAI and LLMs like ChatGPT or Claude, as well as any hands-on projects you've led.

✨Show Off Your Leadership Skills

Since this role involves mentoring junior engineers, think of examples where you've successfully coached others. Prepare to share how you've fostered a collaborative environment and helped team members grow in their roles.

✨Communicate Clearly

You’ll need to explain complex AI concepts to both technical and non-technical folks. Practice simplifying your explanations and think of analogies that can help convey your ideas clearly during the interview.

✨Stay Current with Trends

Keep yourself updated on the latest advancements in AI and MLOps practices. Be prepared to discuss how you’ve applied these trends in your previous work and how they can benefit the company’s projects.

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